Systems engineer & founder Β· Bogura, Bangladesh
I build execution engines for AI, protocols for agents, and a computer architecture in my native language β from the instruction set up.
9th-grade student and self-taught engineer. Everything below was designed and built at age 15. I'm 16 now, and still building.
Now: Co-founder, Lead Engineer & CTO at Truck Pai Β· Founder & Engineer at Brud Code Β· Founder & Systems Researcher at Akkhar-Labs
Looking for: internships, fellowships, and research collaborations in full-stack engineering, systems engineering, and research.
- π ~1,000 active users & drivers on Truck Pai, a production logistics platform I built and run.
- βοΈ Brud Code: 770+ installs on the VS Code Marketplace and 30β on GitHub; patched 467 files with 0 failures on Truck Pai's production codebase.
- π§Ύ Co-author of an accepted protocol extension: ASM Trust Delta Receipt v0.1. My design additions were merged and are cited in the ASM paper.
- π§ Endorsed by a Google DeepMind researcher (founding team, Gemini Deep Research) for Aura-Arc (source).
- π£ Designed a 16-bit CPU instruction set in Bengali, with my own assembler and simulator that run it end to end.
Akkhar-Labs is my independent systems research lab. It isn't a product company. It's where I work at the lowest layers of computing. Its long-term mission, Project Ekushey (named after the 1952 Language Movement), is a complete computing stack designed in Bengali, from the instruction set to the operating system.
The bottom of that stack already exists and runs:
.বয়ন source βββΊ Boyon (assembler) βββΊ .ব machine code βββΊ Shimu (simulator) βββΊ execution report
βββββββββββββ Nirdeshika SDK: one command, full pipeline βββββββββββββ
all targeting the Nirdeshika-16 ISA
| Layer | What I built | Engineering it demonstrates |
|---|---|---|
| Nirdeshika-16 | A 16-bit load/store CPU instruction set architecture, specified entirely in Bengali (32-page spec, v1.0). Hardware design, not software. | Instruction encoding, register file, addressing modes, cycle timing |
| Boyon | Two-pass assembler in C for Bengali assembly language | Lexing Unicode in C, symbol tables, label resolution, binary emission |
| Shimu | Instruction-level CPU simulator in C | Fetchβdecodeβexecute loop, 64 KB memory model, flags, fault handling |
| Nirdeshika SDK | Unified toolchain: nirdeshika --compute program.বয়ন |
Toolchain design, CMake builds |
I also defined Akkhar-Hex, a Bengali hexadecimal notation (০βΰ§―, ΰ¦βΰ¦). Next on the roadmap: a Bengali character encoding, 32/64-bit ISAs, the Kotha programming language, the BAPS kernel, and Matrika OS.
Repo Β· VS Code Marketplace Β· MIT
Brud Code lets any AI chatbot safely edit real codebases. Every change is reviewed, logged, and reversible.
- Standalone microkernel (
@brud/kernel) with a capability pipeline and workspace sandboxing - Snapshot history engine, session revert/restore, 7-day trash
- Terminal engine: sequential, parallel, and conditional runs; timeouts; dangerous-command blocking; live streaming
- Monorepo (core Β· protocol Β· UI Β· VS Code adapter), CI on GitHub Actions, provider parity tests
- Benchmarked on Truck Pai's production codebase (384K LOC at the time): 1,000 files created in under 1 s Β· 467 files patched with 0 failures Β· 1,000 files reverted and restored in milliseconds
Brud Prime, an autonomous multi-agent engineering system, is in active development and coming soon (announcement). Lineage: Akkhar Code Patcher β Sover β Brud Code.
truckpai.com Β· Co-founder, Lead Engineer & CTO
I designed, built, and continuously develop the entire technical platform solo, as a single proprietary monorepo: 7 Flutter apps, 25+ Node.js modules, a Go microservice, and PostgreSQL. It runs in production, is upgraded daily, and serves ~1,000 active users and drivers. It's my largest project.
Repo Β· Project page Β· lablab.ai Agentic Economy on Arc
A deterministic C++17 core compiled to WebAssembly, Circle USDC nanopayments on Arc, a 3-way escrow handshake, and Supabase-backed crash recovery, with a Next.js 15 front end.
"Wild execution from a solo 16-year-old: deterministic C++17 core compiled to WebAssembly for financial atomicity off the JS main thread, plus a 3-way ASE handshake for trust-gap escrow and a Wasm/Supabase rehydration story for crash recovery. The unit-economics framing ($0.005 task vs $0.15 gas) is exactly the Arc pitch. Impressive." β Naman Goyal, Researcher at Google DeepMind Β· source
(I was actually 15 when I built it.)
Professional freelancer since 2025, with ongoing client work for businesses in Bangladesh. Selected projects:
- iLab BD: training platform for mobile-repair and technology courses. I built the entire mobile app, shipped many new back-end features, and contributed across the web front end.
- My Pharma: Front-end developer (Next.js).
| HashedContext | Research paper, working draft. Hash-referenced context for LLM agents. Early benchmarks show 57.7β67.2% fewer prompt tokens on DeepSeek V4 production endpoints. |
| ZRCP | Public protocol specification for removing redundant context between AI agents using content hashes. |
| ASM Trust Delta Receipt v0.1 | Co-authored with Yi Guo, creator of ASM (Product Manager, Tencent Ads). I contributed the first external reference integration, and my design additions (public_key_fingerprint, supersedes) were merged in PR #8 and cited in the ASM paper. |
| Akkhar Magic | OpenAI-compatible local API bridge for Google AI Studio (TypeScript, browser automation over CDP). |
| Braidwire | OpenAPI client generator with protected regions that survive regeneration, plus drift detection. |
| Export Code Context | VS Code extension that exports files or folders into one clean text file for LLMs. |
- π Just-In-Time Learning Educational Model: proposal, draft v0.1. An education model in which a learner's own goal decides what they learn next, with guidance when they need it and autonomy when they've earned it. It includes an admissions approach, an assessment framework, and a plan for testing whether it works. "Who can't find their path, teach them. Whoever can, let them be free."
- π Orchestrator of Reality: book in progress. Its multi-model critique workflow parallels recent research on debate-based oversight (e.g., arXiv:2605.27483).
Open to internships, fellowships, research collaborations, and serious projects.
rahathasan5773@gmail.com


